Sciweavers

947 search results - page 88 / 190
» Using Learning Curves to Mine Student Models
Sort
View
145
Voted
ICDM
2010
IEEE
168views Data Mining» more  ICDM 2010»
15 years 1 months ago
Anomaly Detection Using an Ensemble of Feature Models
We present a new approach to semi-supervised anomaly detection. Given a set of training examples believed to come from the same distribution or class, the task is to learn a model ...
Keith Noto, Carla E. Brodley, Donna K. Slonim
122
Voted
NAACL
2010
15 years 1 months ago
Not All Seeds Are Equal: Measuring the Quality of Text Mining Seeds
Open-class semantic lexicon induction is of great interest for current knowledge harvesting algorithms. We propose a general framework that uses patterns in bootstrapping fashion ...
Zornitsa Kozareva, Eduard H. Hovy
123
Voted
PKDD
2007
Springer
193views Data Mining» more  PKDD 2007»
15 years 9 months ago
Learning Multi-dimensional Functions: Gas Turbine Engine Modeling
Abstract. This paper shows how multi-dimensional functions, describing the operation of complex equipment, can be learned. The functions are points in a shape space, each produced ...
Chris Drummond
IWPSE
2007
IEEE
15 years 9 months ago
Improving defect prediction using temporal features and non linear models
Predicting the defects in the next release of a large software system is a very valuable asset for the project manger to plan her resources. In this paper we argue that temporal f...
Abraham Bernstein, Jayalath Ekanayake, Martin Pinz...
AAAI
1996
15 years 4 months ago
Learning Models for Multi-Source Integration
One issue involved in accessing multiple heterogeneous information sources is how to integrate the retrieved data. SIMS, an information mediator, handles this problem by mapping t...
Sheila Tejada, Craig A. Knoblock, Steven Minton